Top Data & Analytics Jobs

Supports the organization’s data governance framework by developing and enforcing standards, policies, business rules, and control frameworks. Monitors data quality and governance KPIs, analyzes root causes, leads improvement initiatives, maintains data definitions and documentation, supports audits, and promotes data stewardship across business and IT teams.

Develops maintenance training metrics covering schedule execution, student feedback, training impact, and return on investment. Analyzes survey responses, identifies trends, and recommends schedule, curriculum, and process improvements. Prepares summary reports and presentations for program reviews and staff knowledge support. Requires five years of data analysis experience supporting complex projects, database design experience, Microsoft Office proficiency, U.S. citizenship, and eligibility for a Secret clearance.

Compiles, analyzes, monitors, and distributes distribution center production, forecast, accrual, payroll, budget, and expense reports. Reviews invoices and purchase orders, resolves vendor discrepancies, tracks supplies and expenses, supports payroll reconciliation, prepares annual budgets, and coordinates with Finance and building management. The role also handles data entry, journal-entry corrections, supply ordering, and special projects.

Scout collegiate basketball games from the arena using proprietary software to quickly and accurately identify and record live game information. Maintain reliable communication and punctuality, attend assigned home games, and operate a smartphone throughout each game. The part-time contract runs from October 2026 through April 2027, with per-game compensation and potential incentives for recruiting, extra coverage, travel, holiday games, and at-home work.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.

Develop data analytics and visual analytic applications using structured and semi-structured data. Design enterprise databases, build relational database systems, integrate data systems, and optimize data pipelines and performance. The role uses Java, AWS, Spark, Scala, SQL, PostgreSQL, NiFi, Informatica, Linux, and ETL technologies to support actionable intelligence applications. An active Top Secret/SCI-eligible clearance is required, with potential CI polygraph eligibility.

Leads marketing performance analytics across digital, media, CRM, ecommerce, customer behavior, and business outcomes. Translates complex data into executive-ready insights and optimization recommendations, defines KPIs and measurement frameworks, supports investment decisions, and guides analytical work across a Data Scientist and Marketing Measurement Analyst. Partners with marketing, finance, business intelligence, digital experience, agencies, and external partners while coaching analytical talent.

The Business Analyst gathers and documents business and functional requirements, analyzes workflows, creates user stories and process diagrams, and translates stakeholder needs into buildable solutions. The role partners with Product, Engineering, QA, clients, and leadership throughout the product lifecycle, supporting backlog refinement, UAT, implementations, training, and feature rollouts. The analyst also identifies process gaps, risks, dependencies, and automation opportunities while maintaining accurate product and workflow documentation.

Leads the architecture, governance, modeling, and evolution of investment data platforms. Designs Snowflake structures, semantic layers, data products, metadata frameworks, quality controls, and AI-ready data foundations supporting portfolio management, research, trading, risk, reporting, and analytics. Partners with investment and technology stakeholders, documents architecture, establishes standards, and enables governed self-service and intelligent data consumption.

Build and maintain ETL/ELT pipelines, explore and clean complex customer data, and deliver trusted analytics products, reports, visualizations, and AI-powered data capabilities. Partner with customers and internal teams to define data requirements, investigate discrepancies, validate AI/ML outputs, implement quality controls, and improve data tooling through automation. Translate complex findings and workflows into clear narratives and repeatable processes.